Harnessing LLMs for Temporal Data - A Study on Explainable Financial Time Series Forecasting

Xinli Yu, Zheng Chen, Yanbin Lu. Harnessing LLMs for Temporal Data - A Study on Explainable Financial Time Series Forecasting. In Mingxuan Wang, Imed Zitouni, editors, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023 - Industry Track, Singapore, December 6-10, 2023. pages 739-753, Association for Computational Linguistics, 2023. [doi]

@inproceedings{YuCL23-6,
  title = {Harnessing LLMs for Temporal Data - A Study on Explainable Financial Time Series Forecasting},
  author = {Xinli Yu and Zheng Chen and Yanbin Lu},
  year = {2023},
  url = {https://aclanthology.org/2023.emnlp-industry.69},
  researchr = {https://researchr.org/publication/YuCL23-6},
  cites = {0},
  citedby = {0},
  pages = {739-753},
  booktitle = {Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023 - Industry Track, Singapore, December 6-10, 2023},
  editor = {Mingxuan Wang and Imed Zitouni},
  publisher = {Association for Computational Linguistics},
}